10 citations · 10 across the 1 of their papers we have counts for
2 papers
cs.NE2025
Optimization of Low-Latency Spiking Neural Networks Utilizing Historical Dynamics of Refractory Periods
Liying Tao, Zonglin Yang, Delong Shang
The refractory period controls neuron spike firing rate, crucial for network stability and noise resistance. With advancements in spiking neural network (SNN) training methods, low…
cs.NE2024★ 10 cited
Differentiable architecture search with multi-dimensional attention for spiking neural networks
Yilei Man, Linhai Xie, Shushan Qiao +2
Spiking Neural Networks (SNNs) have gained enormous popularity in the field of artificial intelligence due to their low power consumption. However, the majority of SNN methods dire…